Abstract: Multi-source data association is one of the key technologies of multi-sensor data fusion in wireless sensor net- work. The joint probability data association algorithm is a data association algorithm of Multi-target tracking, and it doesn't need any priori information about targets and clutters, but its computer expense is very large compared with the other related data association algorithms. The joint probability data association algorithm based on clustering algorithm applys the cogitation of clustering in pattern recognition to deal with the measurement data received from sensors. I}his method reduces the number of measurement data, and simplifies the effective matrix, thus reduces the computation of o- riginal algorithm.

Key words: Wireless sensor network, Multi-target tracking, Joint probability data association, Cluster